Finforensic Technologies, Inc. is seeking early-stage funding to pilot the forensic F-AST platform solution in EU and NATO countries.

F-AST (Finforensic Alpha System Technology) is a modular web app for forensic data management, analysis, and intelligence work, forming the Alpha Series product family. It leverages cloud infrastructure with a three-tier architecture, supporting AI-assisted analysis of large datasets, such as financial transactions and AML (Anti-Money Laundering). Designed for standalone offline functionality, its features and modules can be explored at www.finforensics.fi/en/solutions

Great question! Many authorities still rely on standard office software for their work—though perhaps they shouldn’t. A regular information system is like a city car: convenient for everyday use but limited. A forensic information system, like F-AST, is like an armored SUV: secure and capable of handling the demanding challenges of criminal investigations. F-AST is designed for crime investigation and security, focusing on ensuring evidence integrity (chain of custody) and legal admissibility. Our platform also offers AI-assisted analytics and operates in tough conditions, including offline. In contrast, a regular information system serves general business or administrative needs without the specialized requirements of forensics.

At the core of investment lies the question: How do we prepare for tomorrow’s security challenges? Rapid and adaptive product development is key, as new forms of crime demand swift and effective solutions. A centralized and modular platform like F-AST enables agile responses to emerging threats by leveraging cutting-edge technologies, such as DNA analysis, ballistics, neural networks, sensor technology, AI, or drones, which already offer boundless inspiration for progress. Traditionally, law enforcement development has been slow, but we aim to set new standards that enhance crime prevention and strengthen societal safety. Investing in European, Finnish-made forensic data management is the starting point for this progress and a guarantee for the future of security work.

Our team consists of several experts from various perspectives within the security sector—check out the presentation material available on this page. We have particularly strong experience and insight in our industry, especially in research, intelligence, and analysis. The company’s founder, Mikko Anttila (LinkedIn), has years of experience in areas such as combating organized crime and terrorism. Partner Tomi Mäkilä (LinkedIn) is an entrepreneur, investor, and board professional, specializing in public sector sales. For technical specifications, we have our own data architect. We carefully consider when and which part of our team is brought into the public eye, as they may still be working in roles critical to society.

We have developed the F-AST platform concept and production-ready documentation for a modular data management solution, grounded in years of validated core process experience. Supported by robust theoretical knowledge and extensive testing of key functionalities, we have a plan for a €150,000 pilot project to be executed within six months, advancing toward EU and NATO markets per our roadmap.

F-AST is a comprehensive solution offering authorities rapid, decision-making and leadership-supporting data for investigations, analysis, and intelligence through streamlined, crime-fighting-optimized processes. Unlike smaller competitors with strong analytics but limited operational expertise, F-AST combines deep security sector knowledge with AI-assisted data management. Compared to costly, heavy market-leader solutions (millions of euros), F-AST provides a cost-effective, scalable alternative maximizing performance in analysis and intelligence.

We do not yet disclose detailed pricing, but our revenue projections are based on a conservatively priced core product and its modules. F-AST’s pricing is modular and scalable, based on organizational licenses and user fees. The core product is priced with an annual organizational fee and per-user monthly fees, with modules following a similar model. Our pricing reflects competitive value and comprehensive utility, enabling clients to enhance investigation, intelligence, and analysis capabilities more affordably than global market leaders. AI usage fees depend on the agreement.

F-AST delivers by offering flexible, organization-tailored pricing that avoids unnecessary fixed costs and hidden fees. Its focus on efficiency and offline capability adds value, distinguishing it from costlier, less flexible alternatives:

Efficiency and Value: F-AST’s 1.5x productivity boost delivers significant value relative to costs. Offline support without extra AI fees eliminates dependency on ongoing cloud service costs, which can inflate expenses in competing solutions.

Flexible Modularity: Pricing includes a base fee and optional modules, so clients pay only for needed features, reducing costs compared to complex solutions with redundant functionalities.

Scalability: User-based fees and organizational licenses align costs with size and usage, avoiding oversized fixed fees optimized for large organizations.

Transparency and Predictability: Clear pricing for core and add-on modules simplifies cost forecasting, unlike competitors’ complex models with hidden costs like consultation or integration fees.

F-AST’s processes are designed to function offline, so our core solution does not rely on AI, though it is used to maximize performance. This enables faster integration into existing authority infrastructure. F-AST supports phased LLM adoption (starting with report processing, followed by text analysis). The 1.5x efficiency applies to the core product without AI, achieved by automating data management and removing bottlenecks. LLM advancements could multiply efficiency in specific processes by tens of times.

We aim to first publicize this funding instrument and gather feedback. While we have considered ticket sales for early-stage funding, this will be implemented later if needed.

Our plans and calculations are based on rough, sometimes conservative estimates and realism: We prefer to exceed rather than fall short of expectations. We work on projects requiring responsibility, risk management, and credibility.